Siu Lun Chau

Siu Lun Chau is an Assistant Professor at the College of Computing and Data Science, Nanyang Technological University (NTU), Singapore. He received his DPhil in Statistics in 2023 and his MMath in Mathematics and Statistics in 2018. His research interests include statistics and mathematics. Chau's work is supported by his affiliation with NTU's Department of Computer Science. His contact information is available via email at siulun.chau@ntu.edu.sg, and his profile page can be accessed at https://dr.ntu.edu.sg/entities/person/Siu-Lun-Chau.

Siu Lun Chau is an Assistant Professor of Statistical Machine Learning at Nanyang Technological University, specializing in uncertainty quantification, imprecise probabilities, cooperative game theory, and kernel methods. Their research focuses on developing robust frameworks for handling uncertainty in machine learning, particularly through the integration of cooperative game theory and kernel methods. Chau's work includes advancing explainability in Bayesian optimization, quantifying epistemic uncertainty, and improving causal data fusion. They have contributed to the development of methods such as RKHS-SHAP and BayesIMP, which enhance interpretability and uncertainty quantification in predictive models. Their research also explores domain generalization and imprecise probability metrics to improve model robustness and fairness.